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The limits of pretending (2015)
Journal Article
Turner, P., Hetherington, R., Turner, S., & Kosek, M. (2015). The limits of pretending. Digital Creativity, 26(3-4), 304-317. https://doi.org/10.1080/14626268.2015.1091778

We propose that pretending is a cognitive faculty which enables us to create and immerse ourselves in possible worlds. These worlds range from the veridical to the fantastic and are frequently realised as stories varying from the fictional to the sci... Read More about The limits of pretending.

Towards an Emotionally Intelligent Interaction Strategy for Multimodal Embodied Conversational Agents acting as Companions (2015)
Thesis
Roa SeĂŻler, N. Towards an Emotionally Intelligent Interaction Strategy for Multimodal Embodied Conversational Agents acting as Companions. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/462318

Existing Human Computer Interaction (HCI) strategies are seriously limited by current technologies. These are neither sensitive nor accurate enough to respond to users’ emotional states, the fundamental basis for effective communication in real time.... Read More about Towards an Emotionally Intelligent Interaction Strategy for Multimodal Embodied Conversational Agents acting as Companions.

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes (2015)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015, September). From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. Presented at 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon

Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring Expression Generation (REG) in virtual, controlled environments. In this p... Read More about From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes.

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation (2015)
Presentation / Conference Contribution
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015, September). A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. Presented at 15th European Workshop on Natural Language Generation (ENLG 2015), University of Brighton, Brighton, UK

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We will demo a game-based setup for exploring the effectiveness of different ap... Read More about A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation.

A Snapshot of NLG Evaluation Practices 2005 - 2014 (2015)
Presentation / Conference Contribution
Gkatzia, D., & Mahamood, S. (2015, September). A Snapshot of NLG Evaluation Practices 2005 - 2014. Presented at Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), University of Brighton Brighton, UK

In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand the nature and type of evaluations that have been undertaken. We find that re... Read More about A Snapshot of NLG Evaluation Practices 2005 - 2014.

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments (2015)
Presentation / Conference Contribution
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015, September). Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. Presented at 15th European Workshop on Natural Language Generation (ENLG 2015), University of Brighton, Brighton, UK

Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to street names and generate user-centric instructions. In this paper, we cond... Read More about Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments.

SQL-IDS: evaluation of SQLi attack detection and classification based on machine learning techniques (2015)
Presentation / Conference Contribution
Sheykhkanloo, N. M. (2015, September). SQL-IDS: evaluation of SQLi attack detection and classification based on machine learning techniques. Presented at 8th International Conference on Security of Information and Networks - SIN '15, Sochi, Russia

Structured Query Language injection (SQLi) attack is a code injection technique where malicious SQL statements are inserted into a given SQL database by simply using a web browser. Injected SQL commands can alter the database and thus compromise the... Read More about SQL-IDS: evaluation of SQLi attack detection and classification based on machine learning techniques.

The Cost of Communication: Environmental Pressure and Survivability in mEDEA (2015)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2015, July). The Cost of Communication: Environmental Pressure and Survivability in mEDEA. Presented at GECCO ’15

We augment the mEDEA algorithm to explicitly account for
the costs of communication between robots. Experimental
results show that adding a costs for communication exerts
environmental pressure to implicitly select for genomes that
maintain high... Read More about The Cost of Communication: Environmental Pressure and Survivability in mEDEA.

Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making. (2015)
Presentation / Conference Contribution
Wang, L., & Wang, Z. (2015, July). Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making. Presented at Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

This paper analyzes the inner relations between classical sub-scheme probability and statistic probability, subjective probability and objective probability, prior probability and posterior probability, transition probability and probability of utili... Read More about Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making..

Using Argumentation Within Sustainable Transport Communication (2015)
Presentation / Conference Contribution
Wells, S., & Pangbourne, K. (2015, June). Using Argumentation Within Sustainable Transport Communication. Paper presented at 1st European Conference on Argumentation: Argumentation and Reasoned Action (ECA15)

See attached file.

Combinatorial Dialogue Games in Strategic Argumentation (2015)
Presentation / Conference Contribution
Wells, S. (2015, June). Combinatorial Dialogue Games in Strategic Argumentation. Paper presented at 1st European Conference on Argumentation: Argumentation and Reasoned Action (ECA15)

This paper introduces combinatorial dialogue, a formal approach to strategising within argumentative dialogue games where the moves played within a dialogue game are interpreted as moves within an edge-addition and/or edge-removal combinatorial game.... Read More about Combinatorial Dialogue Games in Strategic Argumentation.

AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour (2015)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., & Urquhart, N. (2015, June). AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour. Presented at International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2015, Salamanca, Spain

BDI agents provide a common well established approach for building multi-agent simulations. In this paper we demonstrate how semantic technologies can be used to model agent behaviour. Beliefs, desires and intentions are mapped flexibly to correspond... Read More about AGADE Using Personal Preferences and World Knowledge to Model Agent Behaviour.

Optimising the scheduling and planning of urban milk deliveries. (2015)
Presentation / Conference Contribution
Urquhart, N. B. (2015, April). Optimising the scheduling and planning of urban milk deliveries. Presented at European Conference on the Applications of Evolutionary Computation EvoApplications 2015, Copenhagen, Denmark

This paper investigates the optimisation of the delivery of dairy products to households in three urban areas. The requirement for the optimisation to be part of the existing business process has determined the approach taken. The solution is maintai... Read More about Optimising the scheduling and planning of urban milk deliveries..

A Lifelong Learning Hyper-heuristic Method for Bin Packing (2015)
Journal Article
Hart, E., Sim, K., & Paechter, B. (2015). A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evolutionary Computation, 23(1), 37-67. https://doi.org/10.1162/EVCO_a_00121

We describe a novel Hyper-heuristic system which continuously learns over time to solve a combinatorial optimisation problem. The system continuously generates new heuristics and samples problems from its environment; representative problems and heur... Read More about A Lifelong Learning Hyper-heuristic Method for Bin Packing.

CURIOS Mobile: Linked Data exploitation for tourist mobile apps in rural areas (2015)
Presentation / Conference Contribution
Nguyen, H. H., Beel, D., Webster, G., Mellish, C., Pan, J. Z., & Wallace, C. (2014, November). CURIOS Mobile: Linked Data exploitation for tourist mobile apps in rural areas. Presented at 4th Joint International Conference, JIST 2014, Chiang Mai, Thailand

As mobile devices proliferate and their computational power has increased rapidly over recent years, mobile applications have become a popular choice for visitors to enhance their travelling experience. However, most tourist mobile apps currently use... Read More about CURIOS Mobile: Linked Data exploitation for tourist mobile apps in rural areas.

Artificial Immune System driven evolution in Swarm Chemistry. (2014)
Presentation / Conference Contribution
Capodieci, N., Hart, E., & Cabri, G. (2014, September). Artificial Immune System driven evolution in Swarm Chemistry. Presented at IEEE Conference on Self-Organising and Self-Adaptative Systems (SASO)

Morphogenetic engineering represents an interesting field in which models, frameworks and algorithms can be tested in order to study how self-* properties and emergent behaviours can arise in potentially complex and distributed systems. In this field... Read More about Artificial Immune System driven evolution in Swarm Chemistry..

Determining content for unknown users: lessons from the MinkApp case study. (2014)
Presentation / Conference Contribution
Webster, G., Sripada, S. G., Mellish, C., Melero, Y., Arts, K., Lambin, X., & Wal, R. V. D. (2014, April). Determining content for unknown users: lessons from the MinkApp case study. Presented at Third International Conference on Natural Language Generation

If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the us-ers of a system are or what kind of in-formation will interest them. This paper describes the development of a system and contextual... Read More about Determining content for unknown users: lessons from the MinkApp case study..

Argument Mining: Was Ist Das? (2014)
Presentation / Conference Contribution
Wells, S. (2014, December). Argument Mining: Was Ist Das?. Presented at Computational Models of Natural Argument (CMNA14),

Argument Mining has become an increasingly popular term over the last
few years but it is unclear to what exactly the term refers. It definitely refers to an
area of endeavour within argumentation theory and within computational argumentation
and... Read More about Argument Mining: Was Ist Das?.

Using Code Generation to Build a Platform for Developing and Testing Dialogue Games. (2014)
Presentation / Conference Contribution
Yuan, T., Manandhar, S., & Wells, S. (2014, December). Using Code Generation to Build a Platform for Developing and Testing Dialogue Games. Presented at Computational Models of Natural Argument (CMNA14),

Despite increasing research into their use as a vehicle for Human-
Computer Dialogue and Inter-Agent Communication, Dialogue Games have not
seen good uptake in industry. One of the reasons for this is the lack of methodologies
and tooling for the... Read More about Using Code Generation to Build a Platform for Developing and Testing Dialogue Games..